Evidence map›Paper›PMID 36046604›Full record

ArticleFrontiers in molecular biosciences2022

Hotspots of single-strand DNA "breakome" are enriched at transcriptional start sites of genes.

Huifen Cao, Yufei Zhang, Ye Cai, Lu Tang, Fan Gao, Dongyang Xu, Philipp Kapranov

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Huifen CaoInstitute of Genomics, School of Medicine, Huaqiao University, Xiamen, China.
Yufei ZhangInstitute of Genomics, School of Medicine, Huaqiao University, Xiamen, China.
Ye CaiInstitute of Genomics, School of Medicine, Huaqiao University, Xiamen, China.
Lu TangInstitute of Genomics, School of Medicine, Huaqiao University, Xiamen, China.
Fan GaoInstitute of Genomics, School of Medicine, Huaqiao University, Xiamen, China.
Dongyang XuInstitute of Genomics, School of Medicine, Huaqiao University, Xiamen, China.
Philipp KapranovInstitute of Genomics, School of Medicine, Huaqiao University, Xiamen, China.
Huaqiao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-strand breaks (SSBs) represent one of the most common types of DNA damage, yet not much is known about the genome landscapes of this type of DNA lesions in mammalian cells. Here, we found that SSBs are more likely to occur in certain positions of the human genome-SSB hotspots-in different cells of the same cell type and in different cell types. We hypothesize that the hotspots are likely to represent biologically relevant breaks. Furthermore, we found that the hotspots had a prominent tendency to be enriched in the immediate vicinity of transcriptional start sites (TSSs). We show that these hotspots are not likely to represent technical artifacts or be caused by common mechanisms previously found to cause DNA cleavage at promoters, such as apoptotic DNA fragmentation or topoisomerase type II (TOP2) activity. Therefore, such TSS-associated hotspots could potentially be generated using a novel mechanism that could involve preferential cleavage at cytosines, and their existence is consistent with recent studies suggesting a complex relationship between DNA damage and regulation of gene expression.

Indexed as

breakomecap analysis of gene expressionDNA break hotspotDNA damagepromotersingle-strand breakstranscription start site

Identifiers

PMID36046604
PMCPMC9420937
OpenAlexW4291378259

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.